Named-entity recognition

Mix.install(
  [
    {:bumblebee, "~> 0.4"},
    {:nx, "~> 0.6"},
    {:exla, "~> 0.6"},
    {:kino, "~> 0.12"}
  ],
  system_env: [
    {"XLA_TARGET", "cuda114"}
  ],
  config: [
    nx: [
      default_backend: EXLA.Backend
    ]
  ]
)

設定

cache_dir = "/tmp/bumblebee_cache"

モデルのダウンロード

{:ok, bert} =
  Bumblebee.load_model({
    :hf,
    "dslim/bert-base-NER",
    cache_dir: cache_dir
  })

{:ok, tokenizer} =
  Bumblebee.load_tokenizer({
    :hf,
    "bert-base-cased",
    cache_dir: cache_dir
  })

サービスの提供

serving = Bumblebee.Text.token_classification(bert, tokenizer, aggregation: :same)

文章の準備

text_input =
  Kino.Input.textarea("TEXT",
    default:
      "Set before and after the French Revolution, the film depicts the dramatic life of Oscar, a beautiful man dressed in men's clothing, and Queen Marie Antoinette of France."
  )

text = Kino.Input.read(text_input)

推論の実行

Nx.Serving.run(serving, text)

時間計測

1..10
|> Enum.map(fn _ ->
  {time, _} = :timer.tc(Nx.Serving, :run, [serving, text])
  time
end)
|> then(&(Enum.sum(&1) / 10))